I previously saw an old project from 2019 and just passed it, but this project is different. AI has been hot for basically the last two years, but if a project started laying out its AI strategy back in 2019, it is far ahead of the entire market, entering this field around the same time as the currently popular $FET and $AKT. However, unlike these two, @AlloraNetwork has not rushed to issue tokens but has focused on product development. Finally, six years later, it feels like it has gone by quickly. I have always believed: slow is fast, and focusing on building a team is more trustworthy. Because at least they are not in a hurry to issue tokens to raise money, focusing on doing good things, and will not be swayed by community emotions. So, six years have passed, what achievements has Allora made? This content will list them one by one. Data + Real Scenarios = Product Capability 1️⃣ Top-notch data support: Nearly 700 million intelligent inferences, with close to 300,000 models covering 55+ active task themes. Yes, you read that right, 300,000 models. Just to compare: as the world's largest open-source AI model library, Hugging Face has just over 350,000 models. Allora only exceeds it by a little. 2️⃣ Top-notch B-end cooperation support: This is reflected not only in Web3 but also in Web2. For example, in Web3, they partnered with Coinbase: its AI agent framework CDP AgentKit now supports Allora as an action provider, breaking the dilemma that AI agents can only perform static operations, promoting more adaptability and smarter operations. There’s also a collaboration with Virtuals: integrating Allora into its G.A.M.E intelligent agent framework to create a more proactive and autonomous decision-making intelligent system. In Web2, there are even more partners: Alibaba (well-known), Amazon (one of the world's largest e-commerce companies), Saudi Telecom (the largest telecom operator in the Middle East), and other influential companies worldwide. 3️⃣ Real data revenue support: I checked the official blog, and there’s a practical case worth noting. The official team collaborated with Robonet to create an AI agent specifically for trading the U.S. presidential election. Allora is responsible for the intelligent brain planning, while Robonet handles execution, with the final result achieving an annualized return of around 67%. Execution is important, but the intelligent brain is the core that determines the final yield. Let me give an analogy: it’s like having hands and feet, but the ability to make money mainly depends on the brain. 4️⃣ Just to mention the impressive technical aspects: Allora's nearly 300,000 models are not isolated individuals nor are they just decorative vases. Instead, they form a collective intelligence of "AI public" wisdom. Collective decision-making should always be greater than individual thinking. You can look at the second and third points together: for example, if you are trading a meme coin, model A might excel at judgment; but for BTC trading, perhaps model B is better. Execution is similar. Collective wisdom 🟰 Maximizing results. 🤔 Thoughts: 1. I dug a bit and found that the team members are from the previous Chainlink team; I remember Link once reached the top 10 in market cap. This overlapping team might repeat its past miracles. It’s about time, although there has been a lot of talk about the AI boom, currently, no AI project has reached the top 10 in market cap after TGE. If we want to prove the value of the AI track, the top 10 ranking can be seen as a reference standard; Allora's product + team + data all have this potential. 2. If we consider AI narrative as a person, Allora is the most valuable part of the brain at the top, while other AI projects make up the limbs, body, and action power. The importance of the brain sometimes far exceeds that of the limbs. Let me give an inappropriate example: you can live without limbs, but you definitely cannot live without a brain. Although it’s not a perfect analogy, I just want to emphasize the importance.